Tagged “capacity”
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Backing up a vector database
Snapshots, what they miss, and why a vector-store backup is only real once you've restored it and run a recall check against a known query set.
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Sizing a vector index in memory
Why your index needs several times the RAM of the raw vectors, which terms drive the total, and how to estimate before you provision.
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Capacity headroom for a growing index
Vector indexes don't degrade gradually as they fill — they hit a cliff. How to set a headroom policy and a projection that pages you weeks early.
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Why deleting vectors doesn't free memory
You deleted a third of the collection and resident memory didn't move. Where tombstones live, what reclaims them, and how to measure the dead fraction.
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Partitioning by the filter you always use
One collection, one filter on every query, and the filter is doing the work an index boundary should. How to pick a partition key and migrate onto it.
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Enabling vector compression on a live collection
Compression needs a rebuild and costs recall you have to measure, not assume. A rollout that gives you the number before you commit, and a way back.
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Archiving vectors nobody searches
Most collections carry records that have never been returned to anyone. How to find them, move them out, and keep the ability to bring them back.
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Splitting a collection across shards
Sharding is the mitigation with the longest lead time, so it has to be started before you need it. How to choose a shard key and cut over safely.
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Load testing a vector database before it matters
A load test with random query vectors measures nothing useful. How to build a realistic query mix, and which failure points a test should actually find.